Triple
T35526666
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jim Cornette |
E1026688
|
entity |
| Predicate | roleAtSmokyMountainWrestling |
P131400
|
FINISHED |
| Object | promoter |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: promoter | Statement: [Jim Cornette, roleAtSmokyMountainWrestling, promoter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleAtSmokyMountainWrestling Context triple: [Jim Cornette, roleAtSmokyMountainWrestling, promoter]
-
A.
wrestlingRole
chosen
Indicates the specific capacity or function an individual performs within a wrestling context, such as competitor, referee, coach, or other defined role.
-
B.
wrestledWith
Indicates that one entity engaged in a physical wrestling contest or struggle with another entity.
-
C.
managedWrestler
Indicates that one entity served as the manager of another entity in a professional wrestling context.
-
D.
wrestlingAlignment
Indicates the character or moral role a wrestler portrays in relation to others, such as hero, villain, or neutral, within a wrestling storyline or context.
-
E.
wrestlingPromotion
Indicates a relationship where an organization operates as a professional wrestling promotion, managing and presenting wrestling events or shows.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f76dfe78b081908e2b14cb88dd8c00 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f79a54aa3c8190b2bb5d790b2d42d4 |
completed | May 3, 2026, 6:56 p.m. |
| PD | Predicate disambiguation | batch_69f7961970408190b669cc556e30a608 |
completed | May 3, 2026, 6:38 p.m. |
Created at: May 3, 2026, 4:04 p.m.